How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code

Hugging Face powers the Papers with Code search using a hybrid system combining keyword and semantic search, leveraging their Inference Endpoints for live query embeddings, Jobs for offline corpus processing, and Storage Buckets for data handoff. This architecture supports over 110,000 papers and ensures fast, robust, and accurate AI research discovery.

This Wire brief sits within Fusion42's coverage of AI Infrastructure and Data Infrastructure.